Difference between Business Intelligence and Data Analytics

Business Intelligence (BI) is a set of techniques and tools used to transform raw data into useful information for making business decisions. This includes data collection, integration, analysis and visualization.

Data Analytics is a subset of BI that focuses on analyzing data to discover insig Thailand Phone Number hts and trends. This may include data mining, statistics and machine learning techniques to help understand and predict behavior.

In summary, BI is a broader approach to data management, while data analysis is a specific part of the process that focuses on reading and interpreting collected information to gain insights.

How to work with Business Intelligence
Working with Business Intelligence (BI) involves some basic steps:

Data Collection: Collect data from internal and external sources, such as databases, spreadsheets and text files;
Data Integration: Integrate data collected from different sources into a single source;
Data cleaning: Remove duplicate and conflicting data, correct errors and complete missing data;

Data analysis: Use statistical analysis, data mining, and machine learning techniques to discover insights and trends in data;
Data visualization: Using visualization tools to present data as graphs, tables and dashboards in an easy-to-understand way;
Decision Making: BI is used to analyze data and make decisions more assertively, with positive returns for the business.
Working with BI requires knowledge of statistics, data mining, data analysis, visualization tools and database management systems. Furthermore, communication skills are important to be able to communicate ideas and trends clearly and effectively to business stakeholders.

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